Cybersecurity of smart grids: Comparison of machine learning approaches training for anomaly detection by S. V. Kochergin, S. V. Artemova, A. A. Bakaev, E. S. Mityakov, Zh. G. Vegera, E. A. Maksimova

“…The comparison of machine learning methods reveals the varying effectiveness of anomaly detection methods used to detect cyber threats and deviations in electrical systems. …”
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Non-Destructive Detection of Soybean Storage Quality Using Hyperspectral Imaging Technology by Yurong Zhang, Wenliang Wu, Xianqing Zhou, Jun-Hu Cheng

“…The 1ST-VISSA-SVM model was the optimal predictive model for crude fatty acid values, achieving a coefficient of determination (R²) of 0.9888 and a root mean square error (RMSE) of 0.1857 and enabling the visualization of related chemical information. (4) Conclusions: it has been confirmed that hyperspectral imaging technology possesses the capability for the non-destructive and rapid detection of soybean storage quality.…”
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An Improved Diagnosis Approach for Short-Circuit Fault Diagnosis in MPC-Based Current Source Inverter System by Jonggrist Jongudomkarn, Pirat Khunkitti, Apirat Siritaratiwat

“…The duration and value of this unchanging optimal vector depend on the type and location of the switch fault, enabling precise fault detection and localization using both phase information and the MPC optimal current vector. …”
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Defect Detection of Bolts through Machine Learning ofUltrasonic Testing Signals by Abdul Azziz Abd Talib, Chun Yee Lim, Chin Kian Liew

“…Traditional visual inspection methods often fail to detect internal defects of installed bolts, necessitating more advanced approaches. …”
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Inorganic Acid Anions in Distilled Alcoholic Beverages: Capillary Electrophoresis with Conductometric Detection by Nataliya V. Shelekhova, Irina M. Abramova, Tamara М. Shelekhova

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Effect of different pretreatment methods on the quality of fermented mustard by ZHENG Qilin, DENG Fangming, ZHAO Lingyan

“…In order to optimize the production process of fermented mustard, the effects of different pretreatment methods of fresh mustard on physicochemical indexes, color parameters, texture, volatile flavor components, and sensory quality of fermented mustard were investigated. …”
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Adverse childhood experiences: terms, concepts, and study methods by Diana S. Shumskaia, Anna V. Trusova, Alexander O. Kibitov

“…However, to date, there is no unique and universally accepted approach to assessment of ACE, which may lead to controversy and low reproducibility of results.The purpose of this review is to examine and compare various methods of assessing and interpreting of ACE in order to identify optimal research algorithms within the current interpretation of the biopsychosocial model in psychiatry.This article reviews current terms, concepts, and methods of studying ACE. …”
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SGANet: A Siamese Geometry-Aware Network for Remote Sensing Change Detection by Jiangwei Chen, Sijun Dong, Xiaoliang Meng

“…Extensive experiments on the LEVIR-CD, WHU-CD, SYSU-CD, and S2Looking-CD datasets demonstrated that SGANet achieved substantial enhancements in F1-Score and intersection over union compared to benchmark methods that are in vogue. By integrating geometry priors and effective multimodal fusion mechanisms, SGANet promoted the development of geometry-aware change detection, further enhancing optimal performance.…”
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Unsupervised Anomaly Detection on Metal Surfaces Based on Frequency Domain Information Fusion by Wenfei Wu, Tao Tao, Jinsheng Xiao, Yichu Yao, Jianfeng Yang

“…At present, although there are many methods for detecting defects on metal surfaces, there are still various limitations. …”
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A Real Time Cardiomyopathy Detection Tool Using Ml Ensemble Models by Salvador de Haro, Esteban Becerra, Pilar González-Férez, José M. García, Gregorio Bernabé

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Enhancing Intrusion Detection Systems with Dimensionality Reduction and Multi-Stacking Ensemble Techniques by Ali Mohammed Alsaffar, Mostafa Nouri-Baygi, Hamed Zolbanin

“…Despite the wide use of various machine learning methods in IDSs, such systems often struggle to achieve optimal performance. …”
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Multiobjective Network Optimization for Soil Monitoring of the Loess Hilly Region in China by Dianfeng Liu, Yaolin Liu, Mingze Wang, Xiang Zhao

“…In this paper, we present a stochastic optimization design method for regional soil carbon and water content monitoring networks with a minimum sample size based on a modified particle swarm optimization algorithm equipped with multiobjective optimization technique. …”
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Parameter Optimisation of Support Vector Machine using Genetic Algorithm for Cyberbullying Detection by Mohd Qorib Alqowiy, Ema Utami

“…This highlights the effectiveness of genetic algorithms in optimizing SVM parameters for cyberbullying detection.…”
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Optimization study of mine fire sensor based on grey correlation analysis. by Xiaokun Zhao, Minghao Ni, Wencai Wang, Jianing Wang, Hongwei Wang

“…The aim was to investigate the characteristics of fire gases, temperature, and wind speed. To optimize the number and location of fire sensors in mines, the mathematical method of grey correlation analysis was proposed. …”
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Multi-Objective Optimization of Manufacturing Process Using Artificial Neural Networks by Katarína Marcineková, Andrea Janáková Sujová

“…The primary objective of this study is to develop a mathematical model for optimizing the detected key process by employing artificial neural networks (ANNs) which mirror adaptive management principles. …”
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Bone scintigraphy based on deep learning model and modified growth optimizer by Omnia Magdy, Mohamed Abd Elaziz, Abdelghani Dahou, Ahmed A. Ewees, Ahmed Elgarayhi, Mohammed Sallah

“…Abstract Bone scintigraphy is recognized as an efficient diagnostic method for whole-body screening for bone metastases. …”
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Multimodal Detection of Agitation in People With Dementia in Clinical Settings: Observational Pilot Study by Abeer Badawi, Somayya Elmoghazy, Samira Choudhury, Sara Elgazzar, Khalid Elgazzar, Amer M Burhan

“…Facial features in video frames were anonymized using a masking tool, and a deep learning model was used for AA detection. To determine optimal performance, various machine learning and deep learning models were evaluated for both wearable and video data streams. …”
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Optimized Conditions for Electrical Tissue Stimulation with Biphasic, Charge-Balanced Impulses by Zhengwu Sun, Payel Sen, Jules Hamers, Thomas Seidel, Andreas Dendorfer, Petra Kameritsch

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Production, isolation, optimization, and characterization of microbial PHA from Bacillus australimaris by Rafwana Ibrahim, Jesil Mathew Aranjani, Navya Prasanna, Avirup Biswas, Prasanna Kumar Reddy Gayam

“…The isolation of the most promising strain, GS-14, was achieved through the sodium hypochlorite method, and subsequent quantification involved establishing a standard curve of crotonic acid. …”
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Detection of SARS-CoV-2 Reinfections Using Nucleocapsid Antibody Boosting by Eduard Grebe, Daniel Chacreton, Mars Stone, Bryan R. Spencer, James Haynes, Akintunde Akinseye, Marion C. Lanteri, Valerie Green, Hasan Sulaeman, Roberta Bruhn, Vivian I. Avelino-Silva, Paul Contestable, Brad J. Biggerstaff, Melissa M. Coughlin, Brian Custer, Jefferson M. Jones, David Wright, Michael P. Busch

“…Continued serosurveillance of transmission and assessments of correlates of protection require robust detection of reinfections. We developed a serologic method for identifying reinfections in longitudinal blood donor data by assessing nucleocapsid (N) antibody boosting using a total immunoglobulin assay. …”
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